In order to uncover the relationship between structure and function, researchers used microfluidic devices to study neuronal ...

In the domain of neural computation, Spiking Neural Networks (SNNs) are distinguished by their unique, biologically informed ...

When trying to solve problems, artificial intelligence often uses neural networks to process data and make decisions in a way ...

Among the marvels of the human brain is its ability to generalize. We see an object, like a chair, and we know it's a chair, ...

Neural implants contain integrated circuits (ICs) — commonly called chips — built on silicon. These implants need to be small ...

Artificial Neural Networks (ANNs) are bio-inspired models of neural computation that have proven highly effective. Still, ANNs lack a natural notion of time, and neural units in ANNs exchange analog ...

A recent study published in the International Journal of Information and Communication Technology sheds light on the ...

AI-based tools demonstrate superior performance in ovarian cancer detection, offering potential to optimize healthcare ...

Researchers have explored the potential of deep neural networks (DNNs) in transforming fragrance design. By analyzing the ...

The results published in the Scientific Reports journal indicate that high-entropy carbonitrides ... "In the new study, we ...

Neural implants contain integrated circuits (ICs)—commonly called chips—built on silicon. These implants need to be small and ...